Your maintenance organization needs complete and accurate asset and maintenance data for analytics, quality management, financial reporting, and regulatory compliance. But while maintenance technicians love fixing problems, they don't always love typing and clicking on a computer. Greasy fingers, tools-in-hand, and a backlog of broken machines to fix take priority over data entry, even though that data is priceless to the business. Oracle Digital Assistant (ODA) allows technicians to capture that data and keep their hands free to do the work they do best.

On May 15th, Oracle's Solution Engineering team published a Maintenance Assistant skill for Oracle Digital Assistant that provides a voice interface between technicians, the Oracle Maintenance Cloud, and Oracle Machine Learning. Technicians can use their voice to capture data, complete operations, issue materials, and request data in the Maintenance Cloud application. They can also request machine learning predictions for root cause of failure, recommended next best action, and additional maintenance recommendations from Oracle Machine Learning.